Data Scientist 3 - Freewheel

Quick Facts

• Role: Data Scientist, Audience & AI (Revenue Science)
• Education: Bachelor’s degree in a technical field required; Master’s or PhD a plus
• Experience: 2–5 years

Description

This Data Scientist role supports product development by performing data analyses and building solutions using AI, machine learning, optimization methods, and statistical models for next-generation ad tech products.

Responsibilities

• Collaborate with cross-functional teams to define data-driven questions and run experiments for product and service enhancements
• Engineer and refine algorithms, software, and automated processes for robust data integration and cleansing from multiple sources
• Use statistical rigor and advanced data science methods to analyze large datasets and derive insights via predictive models and machine learning
• Implement ad tech solutions leveraging statistical models and machine learning
• Research and apply new technologies and analytical methods
• Apply advanced data visualization to communicate key insights
• Develop statistical and mathematical solutions to complex business problems with minimal supervision
• Architect data mining models and protocols to discern trends and improve customer and product insights
• Deploy predictive analytics based on historical data to anticipate customer behavior and inform business decisions
• Synthesize forecasts and strategic recommendations using data science
• Advance business decision-making by applying novel data science principles and emerging analytical techniques

Benefits

• Benefits provided to eligible employees as part of Total Rewards (details available on the careers site)
• Base pay range: New York $118,300.41–$177,450.62
• Additional location pay ranges (good faith estimates): Illinois $103,512.86–$184,844.39; California $88,725.31–$164,306.12

Requirements

• Bachelor’s degree in a technical field such as Data Science, Computer Science, Engineering, Business Analytics, Mathematics, Statistics, or Operations Research
• At least 2 years experience with Python, SQL, and analytical model implementation
• Experience using AWS, Databricks, and Snowflake
• Strong data mangling and ETL pipeline skills
• Machine learning model building and evaluation skills
• Strong analytical and problem-solving skills; ability to work independently
• Proven ability to deliver complex projects within deadlines
• Ability to communicate technical concepts to non-technical audiences

Desired Skills and Experience

• Knowledge of AI platforms (e.g., Amazon Bedrock), large language models, and AI orchestration (e.g., LangChain, LangGraph)
• Experience with optimization models (Linear and Nonlinear Programming)
• Experience with data visualization tools like Looker and Tableau